scholarly journals Net zero 2050 as an EU priroty: modeling a system for efficient investments in eco innovation for climate change mitigation

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Jelena Jesic ◽  
Andrea Okanovic ◽  
Andrea Andrejevic Panic
Keyword(s):  
Climate Change ◽  
Developing Countries ◽  
Time Series Data ◽  
Sample Selection ◽  
Series Data ◽  
Research And Innovation ◽  
Net Zero ◽  
Study Results ◽  
Change Impact ◽  
New Evidence

Abstract Background The study background is based on the fact that The Recovery Plan for Europe envisages investing 30% of the huge budget in climate change, with the goal of zero gas emission by 2050. This ambitious plan will require (for now indefinitely) investments in research and innovation. The study’s main objective is to check and analyze the existing and propose a new model of effective investments in eco-innovation. This will contribute to effective long-term investment policy, climate change impact, and mitigation of consequences. Methods The basic methodological tools for solving the problems discussed in this study were correlation analysis, regression analysis, and paired sample t-test. All calculations were performed in the SPSS 20 statistical software. Time series data of the selected indicators were obtained from the European Innovation Scoreboard 2020. The database used to collect the data for the EU member countries and selected third countries for the analysis is the European Innovation Scoreboard 2020. To avoid sample selection bias, the authors considered all of the available data for all the member countries and selected third countries in the European Innovation Scoreboard 2020 for the 2012 to 2019 period. Results The study results show the path developing countries should follow in directing their inevitable and increasing eco-innovation investments, taking into account the arguments of structural differences in financing Research and Development (R&D). The authors’ findings support the thesis that investments in R&D is low in developing countries, while in developed EU countries, there are more investments in R&D from the business sector for the 2012–2019 period. Conclusions Study conclusions are summarized as a proposal of the appropriate R&D financing model approach to developing countries with a greater share of eco-innovation and self-sustainable R&D financing for climate preserving products. This study is important as it provides new evidence on financing R&D investments in innovation leader countries and emerging innovator countries according to Summary Innovation Index.

Net Zero 2050 As An Eu Priroty – Modeling a System for Efficient Investment in Eco Innovation for Climate Change Mitigation

2021 ◽  
Author(s):  
Jelena Jesic ◽  
Andrea Okanovic ◽  
Andrea Andrejevic Panic
Keyword(s):  
Climate Change ◽  
Developing Countries ◽  
Time Series Data ◽  
Sample Selection ◽  
Series Data ◽  
Research And Innovation ◽  
Catching Up ◽  
Net Zero ◽  
Change Impact ◽  
New Evidence

Abstract Background: Study background is based on the fact that the EU recovery plan envisages investing 30% of the huge budget in climate change, with the goal of zero gas emission by 2050. This ambitious plan will require (for now indefinitely) investment in research and innovation. The main objective of the study is to check and analyze the existing and propose a new model of effective investment in eco-innovation, on the basis of which a contribution to effective long-term investment policy, climate change impact and mitigation of consequences will be given. Methods:. The basic methodological tools for solution of the problems discussed in this study were correlation analysis, regression analysis and pared sample t-test. All calculations were performed in the statistical software SPSS 20. Time series data of the selected indicators were obtained from the European Innovation Scoreboard 2020. Database used to collect the data for EU member countries and selected third countries for the conducted analysis is the European Innovation Scoreboard 2020. To avoid sample selection bias, we considered all of the available data for all member countries and selected third countries in European Innovation Scoreboard 2020 for period 2012 to 2019.Results: Results of the study are showing the path which developing countries should direct their inevitable and increasing eco-innovation investments, taking into account the arguments of structural differences in financing R&D. According to European Eco-innovation Scoreboard the best eco-innovation performers are Luxembourg, Denmark, Finland, Sweden and Austria. While countries catching up with eco-innovations are Lithuania, Greece, Estonia, Malta, Croatia, Slovakia, Poland, Romania, Cyprus, Hungary, Bulgaria. Conclusions: Study conclusions are summarized as proposal of appropriate approach of R&D financing model to developing countries with a greater share of eco-innovation and self-sustainable R&D financing for climate preserving products. This study is important as it provides the new evidence on financing R&D investments in leading and developing countries according to Innovation Scoreboards.

scholarly journals Assessment of Online Deliberative Quality: New Indicators Using Network Analysis and Time-Series Analysis

2021 ◽  
Vol 13 (3) ◽  
pp. 1187
Author(s):  
Bokyong Shin ◽  
Mikko Rask
Keyword(s):  
Time Series ◽  
Network Analysis ◽  
Time Series Analysis ◽  
Time Series Data ◽  
Collective Intelligence ◽  
Series Data ◽  
Online Data ◽  
Series Analysis ◽  
Study Results ◽  
Online Deliberation

Online deliberation research has recently developed automated indicators to assess the deliberative quality of much user-generated online data. While most previous studies have developed indicators based on content analysis and network analysis, time-series data and associated methods have been studied less thoroughly. This article contributes to the literature by proposing indicators based on a combination of network analysis and time-series analysis, arguing that it will help monitor how online deliberation evolves. Based on Habermasian deliberative criteria, we develop six throughput indicators and demonstrate their applications in the OmaStadi participatory budgeting project in Helsinki, Finland. The study results show that these indicators consist of intuitive figures and visualizations that will facilitate collective intelligence on ongoing processes and ways to solve problems promptly.

scholarly journals Financial innovation and economic growth: evidence from Zimbabwe

2016 ◽  
Vol 13 (2) ◽  
pp. 65-75 ◽  
Author(s):  
Alex Bara ◽  
Calvin Mudzingiri
Keyword(s):  
Economic Growth ◽  
Developing Countries ◽  
Time Series Data ◽  
Financial Time Series ◽  
Financial Innovation ◽  
Dark Side ◽  
Series Data ◽  
Distributed Lag ◽  
Long Run ◽  
Causality Tests

The role of financial innovation on economic growth in developing countries has not been actively pursued. Stemming from the finance-growth nexus, literature suggests that financial innovation has a relationship to growth, which could be either positive or negative. Implicitly, financial innovation has a good and a dark side that affects growth. This study establishes the causal relationship between financial innovation and economic growth in Zimbabwe empirically. Using the Autoregressive Distributed Lag (ARDL) bounds tests and Granger causality tests on financial time series data of Zimbabwe for the period 1980-2013, the study finds that financial innovation has a relationship to economic growth that varies depending on the variable used to measure financial innovation. A long-run, growth-driven financial innovationis confirmed, with causality running from economic growth to financial innovation. Bi-directional causality also exists after conditionally netting-off financial development. Policies that enhance economic growth inter-twined with financial innovation are essential, if developing countries, such as Zimbabwe, aim to maximize economic development

scholarly journals Evaluation of Approaches to Depicting First Nations, Inupiat and Inuvialuit Environmental Information in GIS Format: Options for the Handling of Spatial Information in the Arctic Borderlands Ecological Knowledge Co-Op Database

2021 ◽  
Author(s):  
Jadah Elizabeth Folliott
Keyword(s):  
Climate Change ◽  
First Nations ◽  
Spatial Information ◽  
Time Series Data ◽  
Atmospheric Transport ◽  
Data Gathering ◽  
The Arctic ◽  
Series Data ◽  
Ecological Knowledge ◽  
Sea Levels

As the pace of climate change continues to accelerate in the North, traditional environmental knowledge systems are increasingly recognized by researchers, land use planners, government agencies, policy-makers and indigenous peoples as important contributors to environmental impact and climate change assessment and monitoring. Increasing temperatures, melting glaciers, reductions in the extent and thickness of sea ice, thawing permafrost and rising sea levels all provide strong evidence of increasing temperatures in the Arctic. This warming climate has the potential to change migration patterns, the diversity, range, and distribution of animal and plant species, and increase contaminants in the food chain from atmospheric transport of organic pollutants and mercury, thus raising concerns regarding the safety of traditional foods. Since 1996, the Arctic Borderlands Ecological Knowledge Co-op (ABEKC) has systematically recorded First Nations, Inupiat and Inuvialuit observations of landscape changes in the lower Mackenzie, Northern Yukon and eastern Alaska. Time-series data (regarding berry, caribou, fish, weather, ice and snow, plants, and other animal observations) have been obtained through annual interviews with the most active fishers, harvesters and hunters in the communities of Aklavik, Arctic Village, Fort McPherson, Kaktovik, Old Crow, and more recently, in Inuvik, Tsiigehtchic, and Tuktoyaktuk. An evaluation of the spatial utility of the ABEKC database and the many steps that are involved in the collection, storage, and organization of the Co-op’s data was documented. The ABEKC database provided an excellent opportunity to explore the problem of depicting complex qualitative information on northern landscape change in an intelligible GIS format. Initial attempts to develop the database in spatial format were critically evaluated and recommendations were provided in order to explore whether the data gathering and subsequent mapping process can be improved, whether more useful information can be obtained from the data, and to ensure the proper handling of the data in future years.

scholarly journals PENGARUH ZIS (ZAKAT, INFAK, SEDEKAH) DAN ZAKAT FITRAH TERHADAP PENURUNAN KEMISKINAN DI INDONESIA PERIODE 1998 - 2010

Media Ekonomi ◽  
2017 ◽  
Vol 20 (1) ◽  
pp. 83
Author(s):  
Jumadin Lapopo
Keyword(s):  
Time Series ◽  
Developing Countries ◽  
Regression Analysis ◽  
Poverty Reduction ◽  
Time Series Data ◽  
Secondary Data ◽  
Series Data ◽  
Analysis Model ◽  
Independent Variables

<p>Poverty is being a problem in all developing countries including Indonesia. Among goverment programs, poverty has become the center offattention in policy at both of the regional and national levels. Looking at thephenomenon of poverty, Islam present with solution to reduce poverty through Zakat. This study aims to analyze the effect of ZIS and Zakat Fitrah against poverty in Indonesia in 1998 until 2010, data used in this study is secondary data and uses time series data, for the dependent variabel is poverty and for independent variables are ZIS and Zakat Fitrah. The analysis tools used in this study is to use multiple regression analysis model and the assumptions of classical test using the software Eviews-4. In this study also concluded that the ZIS variables significantly affect to the reduction of poverty in Indonesia although the effect is very small. In the variable Zakat Fitrah not significantly affect poverty reduction in Indonesia because of the nature of Zakat Fitrah is for consumption and not for long-term needs. The results of this study can be used for the management of zakat to be able to develop the management and to get a better system for distribution of zakat so that the main purpose of zakat can be achieved to reduce poverty.<br />Keywords : Poverty, Zakat Fitrah, ZIS.</p>

An Analysis of the Dynamic Relationships between Inflation Volatility, Exchange Rate and Output Gap Volatility in Turkey

2021 ◽  
Vol 11 (4) ◽  
pp. 4772-4787
Author(s):  
Sevilay Küçüksakarya ◽  
Mustafa Özer
Keyword(s):  
Exchange Rate ◽  
Time Series Data ◽  
Series Data ◽  
Output Gap ◽  
Bounds Testing ◽  
Inflation Volatility ◽  
Long Run ◽  
Study Results ◽  
Causality Tests ◽  
The Exchange Rate

This study investigates the short and long-run relationships between Inflation volatility, exchange rate, and output gap volatility using the ARDL bounds testing approach in Turkey. Also, we repeat the estimates by using the output gap as well. Moreover, we examine the causal relationship among these variables by using Toda-Yamamoto and frequency domain causality tests. For this purpose, the study uses quarterly time series data between 2005 Q1 and 2020 Q4. Both short and long-run results of the ARDL estimates indicate that there are statistically significant relationships between exchange rate and inflation volatility, between output gap volatility and inflation volatility, and between the output gap and inflation volatility. As expected long-run effect of the exchange rate on inflation, volatility is negative, and the effects of both output volatility and output gap on inflation volatility are positive. Also, causality tests results indicate that changes in the exchange rate, output gap volatility, and output gap will have permanent and temporary causal effects on inflation volatility. Therefore, the study results provide new evidence about the exchange rate, output gap volatility, and output gap. The policymakers should carefully consider these results to implement appropriate policies to reduce inflation volatility.

Waterborne Diseases and Climate Change: Impact and Implications

2018 ◽  
pp. 469-484
Author(s):  
Maha Bouzid
Keyword(s):  
Climate Change ◽  
Developing Countries ◽  
Disease Transmission ◽  
Waterborne Diseases ◽  
Vector Borne Diseases ◽  
Significant Burden ◽  
Change Impact ◽  
Vector Borne ◽  
The Impact ◽  
Adaptation Options

Waterborne diseases are caused by a multitude of pathogens and associated with a significant burden in both developed and developing countries. While the assessment of the adverse impacts of climate change on human heath from infectious diseases has mainly focused on vector-borne diseases, waterborne diseases prevalence and transmission patterns are also likely to be impacted by environmental change. This chapter will outline relevant waterborne pathogens, summarise the impact of climate change on disease transmission and explore climate change adaptation options in order to reduce the increased burden of waterborne diseases.

scholarly journals Effect of climate change in paddy production and adaptation strategies in Tharu communities of Dang district, Nepal

2018 ◽  
Vol 1 (1) ◽  
pp. 62-75
Author(s):  
Pradip Raj Poudel ◽  
Narayan Raj Joshi ◽  
Shanta Pokhrel
Keyword(s):  
Climate Change ◽  
Trend Analysis ◽  
Time Series Data ◽  
Sampling Technique ◽  
Adaptation Strategies ◽  
Primary Data ◽  
Series Data ◽  
Rice Varieties ◽  
Cross Sectional ◽  
Maximum Rainfall

A study on effects of climate change on rice (Oryza sativa) production in Tharu communities of Dang district of Nepal was conducted in 2018A.D to investigate the perception and major adaptation strategies followed by Tharu farmers. The study areas were selected purposively. Cross-sectional data was collected using a household survey of 120 households by applying simple random sampling technique with lottery method for sample selection. Primary data were collected using semi-structured and pretested interview schedule, focus group discussion and key informants interview whereas monthly and annual time series data on temperature and precipitation over 21years (1996-2016) were collected from Department of Hydrology and Meteorology, Kathmandu as secondary data. Descriptive statistics and trend analysis were used to analyze the data. The ratio of male and female was found to be equal with higher literacy rate at study area than district. Most of the farmers depended on agriculture only for their livelihood where there was large variation in land distribution. Farmers had better access to FM/radio for agricultural extension information sources. The study resulted that Tharu farmers of Dang perceived all parameters of climate. Temperature and rainfall were the most changing component of climate perceived by farmers. The trend analysis of temperature data of Dang over 21 years showed that maximum, minimum and average temperature were increasing at the rate of 0.031°C, 0.021°C and 0.072°C per year respectively which supports the farmers perception whereas trend of rainfall was decreased with 7.56mm per year. The yearly maximum rainfall amount was increased by 1.15mm. The production of local indigenous rice varieties were decreasing while hybrid and improved rice varieties were increasing. The district rice production trend was increasing which support the farmer’s perception. The study revealed that there were climate change effects on paddy production and using various adaptation strategies to cope in Dang district.

scholarly journals Trend analysis of climate change compound indices in Iran

2020 ◽  
Author(s):  
Ahmad Roshani ◽  
Fatemeh Parak ◽  
Hossein Esmaili
Keyword(s):  
Climate Change ◽  
Time Series Data ◽  
Spatial Coherence ◽  
Series Data ◽  
Climate Index ◽  
Positive Trend ◽  
Climate Extreme ◽  
Small Areas ◽  
Thermal Climate ◽  
Tourism Climate

Abstract The time-placement scheme of climate extreme changes is important. In this regard, a set of a compound indices derived using daily resolution climatic time series data is examined to assess climate change in Iran. The compound indices were examined for 47 synoptic meteorological stations during 1981–2015. The results show that most stations experienced a negative trend for the cool/dry (CD) and cool/wet (CW) index and a positive trend in CW was observed in some dispersed small areas. Both warm/dry (WD) and warm/wet (WW) indices have similar behavior, but the magnitude and spatial consistency of WW days were much less than WD days. The results show that more than 80% of stations experienced a decrease in the annual occurrence of the cold modes and an increase in the annual occurrence of the warm modes. On the other hand, universal thermal climate index (UTCI) change demonstrated a significant increase in the annual occurrence of strong heat stress (32–38 °C) and significant decrease in the annual occurrence of no thermal stress class (9–26 °C). Moreover, trends in tourism climate index (TCI), including TCI≥ 60 and TCI≥ 80, showed similar changes but with weak spatial coherence.

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